g2pm

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Hello, I have trained the Bert model according to your code. How to use the trained Bert model for pinyin annotation? :)

cy6225800

I made a pull requests

aixingxy

According to https://pytorch.org/docs/1.7.1/generated/torch.nn.LSTM.html?highlight=lstm#torch.nn.LSTM `i_t` and `f_t` are calculated incorrectly

aixingxy

1. SOS（BOS） and EOS have no meaning to the effect and can be removed. 2. There are some label errors in the data（'儿'r5->er5,"樘"cheng3->cheng1,"骑"ji4->qi2）. And after excluding monosyllabic words, the actual...

wizardk

the project can not beat pypinyin!

3

shawnthu

Hi, guys! I tested some common Chinese Mandarin texts. The g2pM model gets all error results, and pypinyin get all correct results. Here are the examples I tested. 

caixxiong

how to new data？

1

how to new data？

wac81

which Chinese Bert model ? which repo?

1

about test results, you use which Chinese Bert model ? which repo?

wac81

论文示例里的数据输出错误

5

`model('今天来的目的是什么？') model = G2pM() model('今天来的目的是什么？') output：['jin1', 'tian1', 'lai2', 'de5', 'mu4', 'de5', 'shi4', 'shen2', 'me5', '？']` 是否是安装问题。 g2pm 版本为0.1.2.4

980202006

Can you provide the complete code for training?

3

Hi, Thanks for the good job. I used chinese bert to do this work with your dataset, but I could't get good result like yours. So I want to study...

zzy1026